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Category: Distributed SQL

YugabyteDB 2.1 is GA: Scaling New Heights with Distributed SQL

YugabyteDB 2.1 is GA: Scaling New Heights with Distributed SQL

Team Yugabyte is excited to announce the general availability of YugabyteDB 2.1! The highlight of this release is that Yugabyte SQL (YSQL), YugabyteDB’s PostgreSQL-compatible API, has not only improved performance 10x since the 2.0 release in September 2019 but is also production ready for multiple geo-distributed deployment scenarios. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source.

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Achieving 10x Better Distributed SQL Performance in YugabyteDB 2.1

Achieving 10x Better Distributed SQL Performance in YugabyteDB 2.1

When starting the YugabyteDB project, our founding thesis was to build a high-performance distributed SQL database for the cloud native era. Achieving high performance will always remain an ongoing initiative, especially when additional optimizations are required to support new features and new use cases. We are excited that the current YugabyteDB 2.1 release has a number of improvements that make Yugabyte SQL’s performance 10x better on average than the previous 2.0 release (from September 2019).

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Getting Started with JetBrains DataGrip on a Distributed SQL Database

Getting Started with JetBrains DataGrip on a Distributed SQL Database

If you’re a database developer, you know the time saving value of an IDE in helping you create and navigate database objects, plus query and edit data from single UI. DataGrip from JetBrains is a well-rounded, visual database tool that supports almost 20 SQL and NoSQL databases from a single interface. And because YugabyteDB is PostgreSQL compatible, getting DataGrip to work with a distributed SQL database is relatively simple. In this post we’ll show you how to get DataGrip connected to a YugabyteDB cluster,

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Distributed SQL Tips and Tricks – Feb 21, 2020

Distributed SQL Tips and Tricks – Feb 21, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

When should I use JSON vs JSONB data types?

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Developing Reactive Microservices with Spring Data and Distributed SQL

Developing Reactive Microservices with Spring Data and Distributed SQL

In 2016 in the keynote presentation of Spring One Platform, Juergen Hoeller announced Spring WebFlux, one of the most highly anticipated projects being worked on by the Spring Team due to the performance gains that reactive streams promised for web controllers. Subsequently, with Spring Framework 5.0, Spring Reactive MVC went GA along with the release of WebFlux API, making the reactive stream based web controller mainstream.

Fast-forward to 2020, Spring WebFlux MVC has gained wide adoption in cloud native applications,

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Natural versus Surrogate Primary Keys in a Distributed SQL Database

Natural versus Surrogate Primary Keys in a Distributed SQL Database

There’s a subtle, but critical, difference between the two notions business-unique key and primary key in a relational database. For example, in a users” table, the “user_id” could be the primary key while the “email_address” (which must be not null and unique) could be the business-unique key. The columns that implement each notion may or may not coincide. This post shows that,

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Distributed SQL Tips and Tricks – Feb 14, 2020

Distributed SQL Tips and Tricks – Feb 14, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. Ok, let’s dive right in:

How can I get the JSON output of distinct columns?

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Distributed SQL Tips and Tricks – Feb 7, 2020

Distributed SQL Tips and Tricks – Feb 7, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. Ok, let’s dive right in:

Does YugabyteDB have an in-memory storage engine?

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Distributed SQL Tips and Tricks – Jan 31, 2020

Distributed SQL Tips and Tricks – Jan 31, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

Can I specify the number of tablets I want a table to have?

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YugabyteDB Engineering Update – Jan 29, 2020

YugabyteDB Engineering Update – Jan 29, 2020

We are pleased to announce that YugabyteDB 2.0.11 is now live!  You can read the official release notes of this and previous versions here. These two releases shipped with a combined 30+ new enhancements and fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible.

YSQL API

  • Fix txn conflict issues due to absence of cotable ID in DocKey.

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